| Got-10k: A large high-diversity benchmark for generic object tracking in the wild L Huang, X Zhao, K Huang IEEE transactions on pattern analysis and machine intelligence 43 (5), 1562-1577, 2019 | 1299 | 2019 |
| VisDrone-DET2019: The vision meets drone object detection in image challenge results D Du, P Zhu, L Wen, X Bian, H Lin, Q Hu, T Peng, J Zheng, X Wang, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 355 | 2019 |
| Tanet: Robust 3d object detection from point clouds with triple attention Z Liu, X Zhao, T Huang, R Hu, Y Zhou, X Bai Proceedings of the AAAI conference on artificial intelligence 34 (07), 11677 …, 2020 | 330 | 2020 |
| Ssap: Single-shot instance segmentation with affinity pyramid N Gao, Y Shan, Y Wang, X Zhao, Y Yu, M Yang, K Huang Proceedings of the IEEE/CVF international conference on computer vision, 642-651, 2019 | 271 | 2019 |
| Locality-sensitive deconvolution networks with gated fusion for RGB-D indoor semantic segmentation Y Cheng, R Cai, Z Li, X Zhao, K Huang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 236 | 2017 |
| Globaltrack: A simple and strong baseline for long-term tracking L Huang, X Zhao, K Huang Proceedings of the AAAI conference on artificial intelligence 34 (07), 11037 …, 2020 | 217 | 2020 |
| Deep crisp boundaries Y Wang, X Zhao, K Huang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 107 | 2017 |
| 3D object detection using scale invariant and feature reweighting networks X Zhao, Z Liu, R Hu, K Huang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9267-9274, 2019 | 103 | 2019 |
| EANet: Enhancing alignment for cross-domain person re-identification H Huang, W Yang, X Chen, X Zhao, K Huang, J Lin, G Huang, D Du arXiv preprint arXiv:1812.11369, 2018 | 98 | 2018 |
| Deep crisp boundaries: From boundaries to higher-level tasks Y Wang, X Zhao, Y Li, K Huang IEEE Transactions on Image Processing 28 (3), 1285-1298, 2018 | 88 | 2018 |
| Recurrent attention model for pedestrian attribute recognition X Zhao, L Sang, G Ding, J Han, N Di, C Yan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9275-9282, 2019 | 81 | 2019 |
| Semi-supervised multimodal deep learning for RGB-D object recognition Y Cheng, X Zhao, R Cai, Z Li, K Huang, Y Rui | 77 | 2016 |
| Visual-semantic graph reasoning for pedestrian attribute recognition Q Li, X Zhao, R He, K Huang Proceedings of the AAAI conference on artificial intelligence 33 (01), 8634-8641, 2019 | 73 | 2019 |
| Discrete probability distribution prediction of image emotions with shared sparse learning S Zhao, G Ding, Y Gao, X Zhao, Y Tang, J Han, H Yao, Q Huang IEEE Transactions on Affective Computing 11 (4), 574-587, 2018 | 66 | 2018 |
| Bridging the gap between detection and tracking: A unified approach L Huang, X Zhao, K Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 58 | 2019 |
| Semi-supervised learning and feature evaluation for RGB-D object recognition Y Cheng, X Zhao, K Huang, T Tan Computer Vision and Image Understanding 139, 149-160, 2015 | 53 | 2015 |
| Semi-supervised learning for rgb-d object recognition Y Cheng, X Zhao, K Huang, T Tan 2014 22nd International Conference on Pattern Recognition, 2377-2382, 2014 | 49 | 2014 |
| Focal boundary guided salient object detection Y Wang, X Zhao, X Hu, Y Li, K Huang IEEE Transactions on Image Processing 28 (6), 2813-2824, 2019 | 42 | 2019 |
| Convolutional fisher kernels for RGB-D object recognition Y Cheng, R Cai, X Zhao, K Huang 2015 International Conference on 3D Vision, 135-143, 2015 | 42 | 2015 |
| VisDrone-SOT2019: The vision meets drone single object tracking challenge results D Du, P Zhu, L Wen, X Bian, H Ling, Q Hu, J Zheng, T Peng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 41 | 2019 |
kaiqi huangNLPR,CASIAVerified email at nlpr.ia.ac.cn
